Hi, I’m trying to run experiment by switching tuners and having issue that I cannot understand.
First off, random tuner works perfectly. However, when switching to other tuners like xgb, ga,…, although tuning process ends successfully, I’m having the following error messages during compilation.
Traceback (most recent call last):
File "tune_relay_x86.py", line 217, in <module>
tune_and_evaluate(tuning_option)
File "tune_relay_x86.py", line 198, in tune_and_evaluate
mod, target=target, params=params)
File "/home/sunggg/Projects/tvm/python/tvm/relay/build_module.py", line 249, in build
graph_json, mod, params = bld_mod.build(func, target, target_host, params)
File "/home/sunggg/Projects/tvm/python/tvm/relay/build_module.py", line 119, in build
self._build(func, target, target_host)
File "/home/sunggg/Projects/tvm/python/tvm/_ffi/_ctypes/packed_func.py", line 213, in __call__
raise get_last_ffi_error()
tvm._ffi.base.TVMError: Traceback (most recent call last):
[bt] (8) /home/sunggg/Projects/tvm/build/libtvm.so(tvm::relay::ScheduleGetter::VisitExpr(tvm::RelayExpr const&)+0x99) [0x7fede3528949]
[bt] (7) /home/sunggg/Projects/tvm/build/libtvm.so(tvm::relay::ExprFunctor<tvm::Array<tvm::te::Tensor, void> (tvm::RelayExpr const&)>::VisitExpr(tvm::RelayExp
[bt] (6) /home/sunggg/Projects/tvm/build/libtvm.so(tvm::relay::ExprFunctor<tvm::Array<tvm::te::Tensor, void> (tvm::RelayExpr const&)>::InitVTable()::{lambda(t::runtime::ObjectRef const&, tvm::relay::ExprFunctor<tvm::Array<tvm::te::Tensor, void> (tvm::RelayExpr const&)>*)+0x27) [0x7fede3518b17]
[bt] (5) /home/sunggg/Projects/tvm/build/libtvm.so(tvm::relay::ScheduleGetter::VisitExpr_(tvm::relay::CallNode const*)+0x15a) [0x7fede351db0a]
[bt] (4) /home/sunggg/Projects/tvm/build/libtvm.so(tvm::relay::ScheduleGetter::VisitExpr(tvm::RelayExpr const&)+0x99) [0x7fede3528949]
[bt] (3) /home/sunggg/Projects/tvm/build/libtvm.so(tvm::relay::ExprFunctor<tvm::Array<tvm::te::Tensor, void> (tvm::RelayExpr const&)>::VisitExpr(tvm::RelayExp
[bt] (2) /home/sunggg/Projects/tvm/build/libtvm.so(tvm::relay::ExprFunctor<tvm::Array<tvm::te::Tensor, void> (tvm::RelayExpr const&)>::InitVTable()::{lambda(t::runtime::ObjectRef const&, tvm::relay::ExprFunctor<tvm::Array<tvm::te::Tensor, void> (tvm::RelayExpr const&)>*)+0x27) [0x7fede3518b17]
[bt] (1) /home/sunggg/Projects/tvm/build/libtvm.so(tvm::relay::ScheduleGetter::VisitExpr_(tvm::relay::CallNode const*)+0x689) [0x7fede351e039]
[bt] (0) /home/sunggg/Projects/tvm/build/libtvm.so(+0x13b725b) [0x7fede367225b]
File "/home/sunggg/Projects/tvm/python/tvm/_ffi/_ctypes/packed_func.py", line 78, in cfun
rv = local_pyfunc(*pyargs)
File "/home/sunggg/Projects/tvm/python/tvm/relay/backend/compile_engine.py", line 250, in lower_call
op, call.attrs, inputs, ret_type, target)
File "/home/sunggg/Projects/tvm/python/tvm/relay/backend/compile_engine.py", line 198, in select_implementation
outs = impl.compute(attrs, inputs, out_type)
File "/home/sunggg/Projects/tvm/python/tvm/relay/op/op.py", line 168, in compute
return _OpImplementationCompute(self, attrs, inputs, out_type)
File "/home/sunggg/Projects/tvm/python/tvm/_ffi/_ctypes/packed_func.py", line 213, in __call__
raise get_last_ffi_error()
[bt] (3) /home/sunggg/Projects/tvm/build/libtvm.so(TVMFuncCall+0x65) [0x7fede3676dc5]
[bt] (2) /home/sunggg/Projects/tvm/build/libtvm.so(+0x12fc103) [0x7fede35b7103]
[bt] (1) /home/sunggg/Projects/tvm/build/libtvm.so(tvm::relay::OpImplementation::Compute(tvm::Attrs const&, tvm::Array<tvm::te::Tensor, void> const&, tvm::Typ
[bt] (0) /home/sunggg/Projects/tvm/build/libtvm.so(+0x13b725b) [0x7fede367225b]
File "/home/sunggg/Projects/tvm/python/tvm/_ffi/_ctypes/packed_func.py", line 78, in cfun
rv = local_pyfunc(*pyargs)
File "/home/sunggg/Projects/tvm/python/tvm/relay/op/strategy/generic.py", line 452, in _compute_dense
return [topi_compute(inputs[0], inputs[1], None, out_dtype)]
File "/home/sunggg/Projects/tvm/python/tvm/autotvm/task/topi_integration.py", line 154, in wrapper
cfg = DispatchContext.current.query(tgt, workload)
File "/home/sunggg/Projects/tvm/python/tvm/autotvm/task/dispatcher.py", line 72, in query
ret = self._query_inside(target, workload)
File "/home/sunggg/Projects/tvm/python/tvm/autotvm/task/dispatcher.py", line 414, in _query_inside
assert wkl == workload
TVMError: AssertionError
All I change from the tutorial is the number of trials and tuning algorithm. Is this an installation issue? Thank you in advance!